Senior Data Scientist (AI-assisted Clinical Development)

About Roche Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI). For more information, please visit https://careers.roche.com Read our community guidelines here: https://www.roche.com/some-guidelines.htm #Roche #Biotechnology #Pharmaceuticals #Diagnostics #Healthcare #PersonalisedHealthcare #GreatPlaceToWork #Innovation

Roche

biotechnologyinnovationpersonalized healthcaregreat place to workdiagnosticspharmaceuticalsresearchhealthcarepersonalised healthcarediabetes care

R

roche.com

10,001+ employees

Biotechnology Research

Switzerland 🇨🇭

Public Company

4.6M LinkedIn followers

Raised $7.8B

• The IA Senior Data Scientist plays a pivotal role in building and deploying AI/ML-powered digital solutions that transform how we develop medicines. You will partner closely with product managers, software engineers, and UX researchers to design, test, and scale statistical capabilities that unlock actionable insights from clinical, operational, and real-world data. With a strong product-thinking mindset and deep technical fluency, you will help create intelligent tools that are scalable, ethical, and built for impact in regulated healthcare environments.
• You apply advanced statistical and machine learning methods to support development of tools and software products for evidence generation, trial design, and decision support across R&D initiatives
• You act as the subject matter expert to inform software products for the conduct of simulation studies and comparative evaluations of analytical approaches for clinical and operational scenarios
• You collaborate with domain experts to translate scientific problems into data science workflows, identifying patterns of workflows that can be automated and productized
• You build and maintain model development pipelines, ensuring traceability, performance monitoring, and reproducibility
• You contribute to the integration of models and algorithms into production applications, working closely with engineering and product teams
• You participate in the design of compliant and interpretable ML product architectures for clinical development environments
• You design documentation templates that communicate modeling decisions, trade-offs, and performance summaries to cross-functional stakeholders
• You contribute to internal knowledge sharing, peer reviews, and community learning within the data science function

Required

• You have a Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Bioinformatics, or a related field
• You have 3+ years of experience applying machine learning and statistical modeling to data-centric problems in research or product environments
• You are proficient with Python or R, including experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
• You have experience in experimental design, simulation, and evaluation of model performance
• You have the ability to translate scientific or business questions into model architectures and data pipelines
• You have practical experience with version control, testing frameworks, and collaborative software development
• You have experience working with one or more of the following: RWD/RWE, decision analysis, clinical biomarkers, Bayesian inference, or interpretable ML
• You have attention to detail and quality work with an ability to manage and prioritize multiple projects simultaneously, including both long-term and short-term initiatives
• You have excellent collaboration skills, including statistical consulting skills, interpersonal skills to contribute effectively in cross-functional team settings, ability to influence others without authority, and ability to build strong collaborative relationships with scientific and non-scientific partners
• You have capacity for independent thinking and ability to make decisions based upon sound principles
• You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond technical domain
• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
• You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language

Preferred

• Experience contributing to ML product pipelines and deployment workflows
• Experience building evidence synthesis models (e.g., network meta-analysis) or constructing data-driven priors for drug development
• Experience with Bayesian computing or probabilistic programming languages (PPLs), including Stan, PyMC, brms, or others
• Experience with collaborative coding practices and modern version control (e.g., git, CI/CD)
• Experience with generative AI tooling for software development (e.g., agentic coding, spec-driven development, AI code reviews)
• Experience developing agentic AI tooling for data analysis or processes relevant to the pharmaceutical industry
• Knowledge of compliance-related standards (e.g., GxP, HIPAA)
• Publication or public presentation experience in applied statistics or machine learning
• Experience working in agile, cross-functional teams with scientific or product stakeholders

• If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.